Creating agent workflows and architecting the logic is one thing, making them durable and fail-safe is another👇
New integration for durable agent workflows with @dbos.dev execution - Make sure your agents survive crashes, restarts, and errors without writing any checkpoint code.
We're starting a new series highlighting the features and integrations our team has been shipping each
month.
We shipped Kotlin support, workflow patching & lineage tracking, dynamic cron, configurable alerting, a new MCP server, and more.
Read the full update here:
www.dbos.dev/blog/dbos-ne...
Coding agents are already great at writing durable workflows. But operating them, especially when things break, is much harder.
If multiple workflows fail with unexpected errors, how do you find the root cause, test, and apply a fix?
That's why we built DBOS MCP www.dbos.dev/blog/mcp-age...
This lets you do things like dynamically create new schedules when you onboard customers to perform periodic work for those customers, like regular data syncs.
Docs: docs.dbos.dev/python/tutor...
Cool new feature: Dynamic workflow schedules!
The idea is to store workflow schedules in Postgres so you can dynamically create, view, update, and delete them at runtime, as well as (coming soon) view them from a dashboard. Plus, our new design supports backfilling and manual triggering.
I wrote a new blog post with @pydantic.dev! With the Pydantic AI + DBOS integration, agent runs are automatically checkpointed to Postgres. Executions are durable and observable with DBOS + Pydantic Logfire.
Check it out: pydantic.dev/articles/pyd...
A presentation so nice, I'm doing it twice.
I'll be delivering my Building Reliable Workflows in Java talk again on Feb 24th, this time in Seattle. If you're a Java (or Kotlin!) developer, come hear all about what you can do with DBOS.
www.meetup.com/seajug/event...
OpenAI Agents SDK + @dbos.dev integration is now live! You can run OpenAI agents with durable execution backed directly by your database. DBOS embeds as a library, so it works anywhere, even inside a local coding agent.
Check it out, and any feedback is welcome: openai.github.io/openai-agent...
Exactly!
DBOS is coming to skills.sh
You can now teach your coding agent (Claude Code, Codex, Antigravity, anything) how to write durable workflows by just running:
`npx skills add dbos-inc/agent-skills`
Available in Python and TypeScript.
Check out this new release of Pydantic AI: parallel tool execution in DBOS agents with deterministic replay.
The newly added execution mode runs tool calls in parallel, then emits events in a stable order. This makes agent execution reproducible and crash-recoverable without sacrificing latency.
Love this template. It shows how you can build reliable apps in a serverless environment with DBOS.
Supabase/Postgres is the only backend you need, there's no separate orchestrator.
This is especially good for reliably implementing AI agents, data or file processing jobs, or any other kind of background task in Vercel.
Cool new collaboration: a @vercel.com + @supabase.com + DBOS template!
It's a simple pattern for running reliable background jobs:
- Write tasks as DBOS workflows (regular TS/JS)
- Enqueue them from your app
- Vercel functions pick them up and run them automatically
vercel.com/templates/te...
Thanks for inviting us 💙
Harry Pierson speaking at the Portland Java User Group
#dbos
@dbos.dev @devhawk.net
Elijah and Max will cover the following:
- Designing idempotent Connector SDK state transitions using DBOS durable workflows
- A live demo showing reliable connector lifecycle management
- Where this pattern fits in the modern data stack, and how teams can extend it for AI-driven automation
Fivetran - DBOS webinar tomorrow, Jan 28 at 9AM PT/12PM ET
Learn how to build a control plane that safely manages Fivetran Connector SDK state changes using DBOS durable workflows. It enables idempotency, automatic recovery, and enterprise-grade reliability‚ without complex custom orchestration.
A nice feature in the latest DBOS Python release: you can now call async steps concurrently with native syntax from a workflow.
To make that possible, we added code to set a unique ID for each step before it begins, so even though the step executions overlap they’re checkpointed deterministically.
The January DBOS User Group kicks off 2026 tomorrow: luma.com/v94dyuk5
Agenda:
- How to self-host and scale DBOS Conductor.
- New DBOS Conductor pricing.
- CommonSense AI explains their DBOS use case and journey, transforming local government operations with AI.
- 2026 roadmap
See you soon!
This is a must-read annual review on database systems. 👀
Our first meetup of the year! 🍻
The keyword of 2025 for me is: community. This includes @dbos.dev, @southbaysystems.xyz, and several open-source projects. 🧵
Thanks to everyone who was part of my 2025. I'm proud of what we built, clearer about what matters, and excited about the year ahead.
DBOS 2025 Highlights 🎄 DBOS Transact (Open-source durable workflows library) Durable Queues: priority, rate limit, concurrency, debounce, deduplication, dynamic partitioning, heterogeneous workers Workflow Management: timeouts, cancel, resume, fork Versioning & Patching: seamlessly upgrade your code DBOS Client: interact with DBOS apps from other services TypeScript: support more runtimes including Bun and Deno Python: support SQLite; sync and async functions New Languages: Go, Java DBOS Conductor (new!) (Out-of-band management UI) Distributed failure recovery, data retention, observability On-prem self-hostable, privacy preserving Partnerships and Integrations Supabase, Vercel, Neon, Tiger Data, Pydantic AI + Logfire, PlanetScale, Datadog, … more to come!
2025 has been a wild year for DBOS. Huge thanks to you all for the support, feedback, and trust along the way.
Looking forward to making reliable software even easier to build in 2026 🚀
Simplicity wins. I really appreciated the shoutout: "Integrating durable workflows through DBOS solved our distributed system headaches without adding ops overhead."
www.decodingai.com/p/building-v...
People used to complain that the DBOS UI wasn't available locally. Good news: it is now, and it's free for open-source local dev.
Run a local DBOS UI right on your laptop and actually see your workflows while you build. Debugging hits different when it's visual.
docs.dbos.dev/production/s...
